ImageNet-Patch: A Dataset for Benchmarking Machine Learning Robustness against Adversarial Patches.
Maura PintorDaniele AngioniAngelo SotgiuLuca DemetrioAmbra DemontisBattista BiggioFabio RoliPublished in: CoRR (2022)
Keyphrases
- machine learning
- image patches
- million images
- natural images
- learning algorithm
- pascal voc
- machine learning methods
- surface patches
- inductive learning
- information extraction
- database
- small image patches
- regular grid
- benchmark datasets
- object detection
- data mining
- machine learning algorithms
- sparse representation
- explanation based learning
- computer vision
- decision trees
- pattern recognition
- feature selection
- text classification
- image search
- multi agent
- feature vectors
- learning systems
- data analysis
- artificial intelligence
- image features
- face recognition
- reinforcement learning
- video sequences
- active learning
- semi supervised learning
- image representation
- knowledge discovery
- knowledge acquisition
- image classification
- computational intelligence
- image database
- higher order